Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease

BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI and increases short-term mortality. However, there are no studies on the prognosis of AKD in the elderly. METHODS: Da...

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Detalles Bibliográficos
Autores principales: Li, Mingxia, Zhuang, Qinghe, Zhao, Shuangping, Huang, Li, Hu, Chenghuan, Zhang, Buyao, Hou, Qinlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645285/
https://www.ncbi.nlm.nih.gov/pubmed/36341895
http://dx.doi.org/10.1080/0886022X.2022.2142139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645285/
https://www.ncbi.nlm.nih.gov/pubmed/36341895
http://dx.doi.org/10.1080/0886022X.2022.2142139

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